Master LLM Agents for Advanced Reasoning, Coding Assistants, Research Assistants, and More through Hands-On Code
Sub Category
- Other IT & Software
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Objectives
- Understand the key differences between LLM prompt output, LLM Chains, Retrieval-Augmented Generation (RAG), and LLM Agents.
- List and explain the main components of an LLM Agent, including tools, memory, and planning mechanisms
- Utilize sophisticated task planning and reflection methods to enhance the functionality and efficiency of LLM Agents
- Create and implement memory mechanisms that enable LLM Agents to sustain interaction and learn over time.
- Incorporate different tools to extend and enhance the capabilities of LLM Agents.
- Combine components to create complex agents such as Research Assistants, Coding Assistants, Recommendation Agents, and Agentic RAGs.
- Engage in 15 interactive coding tutorials that progressively build on concepts, providing practical experience and deeper understanding.
Pre Requisites
- Basic Python Programming experience
- Basic understanding of Generative AI like LLMs, writing prompts etc
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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